Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …

Finding compact and well-separated clusters in data sets is a challenging task. Most
clustering algorithms try to minimize certain clustering objective functions. These functions …

As a classical data analysis technique, clustering plays the important role in identifying
natural structures of target datasets. However, many of the existing clustering methods …

Anti-terrorism research is an important academic topic in current societies. The crucial
features of attacked incidents can be obtained effectively by identifying phase division of …

Clustering, an unsupervised pattern classification method, plays an important role in
identifying input dataset structures. It partitions input datasets into clusters or groups where …

The importance of unsupervised clustering methods is well established in the statistics and
machine learning literature. Many sophisticated unsupervised classification techniques have …

The single-molecule break junction technique provides a high-throughput method to explore
the charge transport phenomena through a molecular junction at the ultimate scale of a …

Video content data have a variety of objects that could be associated with each other.
Although content data contains similar objects or themes, their associations can become …

The K-means clustering algorithm is well-known for its easy computational approach. In this
algorithm, essential cluster-level information is captured by the K cluster centroids. However …

To understand the non-uniformity of microwave heating, berry puree selected as
representative material with high moisture content, movement simulation and beach …